Evidence map›Paper›PMID 33330796›Full record

ArticleGlobal health & medicine2020

Challenges to neonatal care in Cambodia amid the COVID-19 pandemic.

Azusa Iwamoto, Rathavy Tung, Tomomi Ota, Shinichi Hosokawa, Mitsuaki Matsui

Open access · bronzeAbstract read
In one paragraph

Article in Global health & medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Azusa IwamotoBureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan.
Rathavy TungProject for Improving Continuum of Care with focus on Intrapartum and Neonatal Care in Cambodia, Japan International Cooperation Agency, Phnom Penh, Cambodia.
Tomomi OtaDepartment of Pediatrics, National Center for Global Health and Medicine, Tokyo, Japan.
Shinichi HosokawaDepartment of Newborn Medicine, Aiiku hospital, Tokyo, Japan.
Mitsuaki MatsuiDepartment of Global Health, Nagasaki University School of Tropical Medicine and Global Health, Nagasaki, Japan.
National Center for Global Health and Medicine · JPCambodia National Malaria Center · KHNagasaki University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since mid-February, 2020, coronavirus disease-2019 (COVID-19) has been spreading in Cambodia and, as of April 9, 2020, the Ministry of Health has identified 119 polymerase chain reaction (PCR)-positive cases. However, the PCR test is available in only two specialized institutes in the capital city Phnom Penh; therefore, exact and adequate identification of the cases remains still limited. Many vulnerable newborn infants have been admitted to the neonatal care unit (NCU) at the National Maternal and Child Health Center in Phnom Penh. Although the staff have implemented strict infection prevention and control measures, formidable gaps in neonatal care between Cambodia and Japan exist. Due to the shortages in professional workforce, one family member of sick newborn(s) should stay for 24 hours in the NCU to care for the baby. This situation, however, may lead to several errors, including hospital-acquired infection. It is crucial not only to make all efforts to prevent infections but also to strengthen the professional healthcare workforce instead of relying on task sharing with family members.

Indexed as

CambodiaCOVID-19familyneonatal caretask sharingworkforce

Identifiers

PMID33330796
PMCPMC7731095
OpenAlexW3018292951

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.